Browsing by Author "Tekin, Ramazan"

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Detection of Parkinson's Disease by Shifted One Dimensional Local Binary Patterns From Gait
(Pergamon-elsevier Science Ltd, 2016) Ertugrul, Omer Faruk; Kaya, Yilmaz; Tekin, Ramazan; Almali, Mehmet Nuri
The Parkinson's disease (PD) is one of the most common diseases, especially in elderly people. Although the previous studies showed that the PD can be diagnosed by expert systems through its cardinal symptoms such as the tremor, muscular rigidity, disorders of movements and voice, it was reported that the presented approaches, which utilize simple motor tasks, were limited and lack of standardization. To achieve a standard approach in PD detection, an approach, which is built on shifted one-dimensional local binary patterns (Shifted 1D-LBP) and machine learning methods, was proposed. Shifted 1D-LBP is built on 1D-LBP, which is sensitive to local changes in a signal. In 1D-LBP the positions of neighbors around center data are constant and therefore, the number of patterns that can be exacted by it is limited. This drawback was solved by Shifted 1D-LBP by changeable positions of neighbors. In evaluation and validation stages, the Gait in Parkinson's Disease (gaitpdb) dataset, which consists of three gait datasets that were recorded in different tasks or experiment protocols, were employed. Statistical features were exacted from formed histograms of gait signals transformed by Shifted 1D-LBP. Whole features and selected features were classified by machine learning methods. Obtained results were compared with statistical features exacted from signals in both time and frequency domains and results reported in the literature. Achieved results showed that the proposed approach can be successfully employed in PD detection from gait. This work is not only an attempt to develop a PD detection method, but also a general-purpose approach that is based on detecting local changes in time ordered signals. (C) 2016 Elsevier Ltd. All rights reserved.
Mathematical Models and Numeric Solition of Solitary Waves Progress
(2006) Tekin, Ramazan; Amirali, Gabil
Bu çalışma non-lineer dalgalar olarak bilinen soliton dalgalarının nümerikçözümleri üzerine yapıldı. 1884 yılında ilk defa İskoçyalı mühendis John ScottRussel tarafından fark edilen soliton dalgalarının çözümü için sonraları bir çok bilimadamı farklı çözümler ortaya koymuştur.Yapılan çalışmada 1965 yılında Zabusky ve Kruskal tarafından ortayakonulan nümerik çözümler, Korteweg-de Vries (KdV) denklemi için Split StepFourier ve modifiye edilmiş KdV eşitliği için Sonlu Fark Şemaları kullanılarak,bilgisayar ortamında simülasyon yapıldı. Simülasyonda tek dalga ilerleyişi ve ikidalganın etkileşimleri gösterildi. Nümerik çözümler, gerçek çözümlere yakındeğerler bulmak amacı ile uygulanmaktadır. Yapmış olduğumuz ?Soliton dalgasüreçlerinin matematiksel modelleri ve nümerik çözümleri? isimli tez çalışmasıda bu amaca hizmet etme çabasındadır.Yapılan çalışma sonunda soliton dalgaların etkileşimlerinde özelliklerinikaybetmeden bir birleri içinden geçebildikleri ve farklı başlangıç değerlerine bağlıolarak farklı nümerik çözümlerin meydana geldiği fark edildi.